LLM Developer (Conversational AI / Chatbot)

ATTIX APAC PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A fintech company in Singapore is seeking a professional to build and implement advanced financial agents capable of executing autonomous workflows. The role requires at least 3 years of experience in machine learning and AI, along with strong backend engineering skills in Python. Ideal candidates will have experience in developing LLM-based applications and a business-oriented mindset. This position offers opportunities for impactful work in financial technology.

Qualifications

• At least 3 years of experience in machine learning and AI related work.
• Proven experience building and deploying LLM-based applications.
• Strong backend engineering skills with expertise in Python.

Responsibilities

• Build and implement advanced financial agents capable of autonomous workflows.
• Develop and maintain scalable pipelines and APIs.
• Ensure high availability, performance, and security through strong backend engineering.

Skills

Machine learning

AI Development

Backend Engineering (Python)

Cloud Platforms (AWS/GCP)

DevOps/MLOps

Job description

Key Responsibilities

• Build and implement advanced financial agents capable of autonomous workflows, including data analysis, market research, and executing financial strategies based on real-time insights.


• Enable AI agents to make independent, data-driven recommendations in areas such as portfolio management, market forecasts, and risk assessment.


• Develop and maintain scalable pipelines, APIs, and system integrations with real-time data, external services, and brokerages.


• Implement text-to-action capabilities for natural language inputs, enabling agents to execute trades, adjust strategies, and generate transparent reports.


• Model Optimization: Train, fine-tune, and maintain machine learning models that power the financial agent’s ability to analyze data, provide recommendations, and execute tasks efficiently


• Ensure high availability, performance, and security through strong backend engineering, MLOps/DevOps, and cloud deployment (AWS/GCP, Kubernetes).


• Monitor and evaluate model performance, data integrity, and decision accuracy to continuously improve reliability and user trust.


• Collaborate with cross-functional teams to align AI agents with business needs, while staying current with advances in LLMs, agentic frameworks, and financial technologies.

Qualifications

• At least 3 years of experience in machine learning and AI related work


• Proven experience building and deploying LLM-based applications, pipelines, or autonomous agents in production environments.


• Strong backend engineering skills with expertise in Python (JavaScript/TypeScript a plus).


• Hands-on experience in developing autonomous agents using the state of the art frameworks


• Hands-on knowledge of MLOps/DevOps, CI/CD, containerization, and cloud platforms (AWS/GCP, Kubernetes). Familiarity with agentic frameworks (Langgraph, Auto-gen, LangChain, or similar) and prompt engineering.


• Business-oriented mindset with curiosity and problem-solving ability; finance background strongly preferred.


• Excellent communication skills to deliver clear insights and transparent reporting to end users.